Chang, K., Dutta, S., Mirams, G. R., Beattie, K., Sheng, J., Tran, P. N., . . . Li, Z. (2017). Uncertainty quantification reveals the importance of data variability and experimental design considerations for in silico proarrhythmia risk assessment. Frontiers Media.
Chicago Style (17th ed.) CitationChang, Kelly, et al. Uncertainty Quantification Reveals the Importance of Data Variability and Experimental Design Considerations for in Silico Proarrhythmia Risk Assessment. Frontiers Media, 2017.
MLA (9th ed.) CitationChang, Kelly, et al. Uncertainty Quantification Reveals the Importance of Data Variability and Experimental Design Considerations for in Silico Proarrhythmia Risk Assessment. Frontiers Media, 2017.
Warning: These citations may not always be 100% accurate.